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Every mile tells a story; every datapoint tells the tale

  • 02-01-2025 02:57PM
    #1
    Registered Users, Registered Users 2 Posts: 9


    A walking cliché enters the bar..

    Mid 30s unfit dad of three with a couple of lbs to shift having hit my heaviest ever this year. In a previous live I was quite sporty however starting out from absolute scratch looking to looking to put a story to the data sets intended to use to hopefully get me to become a runner. Coming from a sports analyst background looking to nerd out on every Garmin metric to track and monitor progress before hopefully getting to a point where I can start discussing races etc.

    My running journey began two weeks ago just to avoid the new years resolution pitfalls, plan was simple 20 minutes a day trying to keep heart rate in the aerobic zones and establish a habit of running

    image.png


    Training is being measured in line with recovery to ensure consistency (Day 1 Sleep data not there due to not having the tracker)

    image.png

    Biomechanically currently like bambi on ice regarding form. Hopefully this will improve with training and fitness

    image.png

    Tracking a number of metrics and will be using them to hopefully build out performance based modelling while also recruiting AI machine learning as an assistant coach to hopefully gain insights to see whether can optimize performance data and its application to be useful to running

    Initial Chat GPT impressions of training (2 week data set)

    image.png


Comments

  • Registered Users, Registered Users 2 Posts: 9 MachineRunKelly


    Week 2

    Christmas week so a few days off as we were having a few days with family and one I consciously knew was coming. Part of the reason for getting started pre Christmas was not to see post holidays as absolution.

    The plan was to increase runs by 5 min per run as will be the plan for the forseeable. I have been sedentary for so long that the simple task of getting out easy is enough of a stimulus for now keeping the HR down as much as possible (although fitness proving to be a bit of a block with getting down to truly aerobic easy without compromising form so based off low time and no other stimulus I am getting away with moderate effort running, realistically this will hopefully change in a couple weeks

    image.png

    Sleep

    The few days missed were probably no harm given the lack of sleep. This was to hopefully draw a line under the year and plough on with a consistent 2025 building back to being a runner

    Cadence

    image.png

    No real change here still ranging between 155 and 157. Plan to bring in strides and drills to address this in a few weeks to hopefully bring up to the 160 range. Small change but should be enough based on previous data to get me to a low injury risk high performance level

    Training Load

    Given I am running base miles at the moment I think this metric could be beneficial for consistency in monitoring health and motivation on a cumulative level rather than day to day.

    image.png


    While there was a dip, when broke down on a daily basis it represent 10 point per day increase on days of exercise. This roughly comes in at 10-15% increase in line with rule of thumb guidelines.



  • Registered Users, Registered Users 2 Posts: 6,374 ✭✭✭crisco10


    Do you use any other sites to compile your data? I use some of them, and love the graphs they produce. Or training paces etc

    E.g. Runalyze



  • Registered Users, Registered Users 2 Posts: 9 MachineRunKelly


    Data is pulled from Garmin through CSV and then a bit of manual work around Excel and PowerBI mostly. Find it helps tweak the data for trends and can look at it in different ways depending on what I am delving into at the time. Hadn't seen Runalyze before but took a look there and probably quite similar to how I am tracking however the bit of manual work allows me to manipulate the raw data a bit more on a personal level.



  • Registered Users, Registered Users 2 Posts: 6,374 ✭✭✭crisco10


    Yeah I get that playing with data has value as you sort of analyse as you do it.

    The main reason I like Runalyze (or similar) is that when life gets busy and I don't have time, it keeps compiling!



  • Registered Users, Registered Users 2 Posts: 9 MachineRunKelly


    Definitely agree on that. AI definitely helps with a lot of the grunt work in recent years but given I am simply building a foundation to train might change at a later stage (interestingly found this video which pretty much sums up my current approach succinctly;

    . Currently coming to the end of a postgrad in sports analytics so definitely cross over between hobby and study in this regard and using my own data helps contextualize aspects and fine tune skills in that regards somewhat



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